How to recognize text in pictures? In modern society, pictures have become an integral part of our lives. Whether at work or in daily life, we often encounter situations where we need to extract text information from pictures. At this time, it is particularly important to recognize the text in the picture. Although all kinds of electronic products are around us now, we are not necessarily familiar with many other functions of electronic products, such as how to perform image recognition. There are various methods, but not everyone can operate them. So, how to recognize the text in the picture? Here are a few methods.
Method 1: Fast text recognition
Quick Text Recognition is a multi-functional image recognition software, which can recognize images and texts in various formats with one click, and can also efficiently recognize complex fonts. It also supports one-click batch recognition. Open the quick text recognition software, the interface is relatively clear, click the corresponding icon according to individual needs.
Method Two: Microsoft Azure
Microsoft Azure is an open platform, including a variety of software operations, providing software for various image operations.
Method 3: Google Cloud Vision
Google Cloud Vision is a software recognition tool launched by Google. It can identify the entity of a picture from thousands of pictures, and can also create its own metadata according to its own picture category area. . It can also easily recognize text in pictures with it.
Method 4: Manual input
When some intelligent tools cannot recognize text, we Can be entered manually. This takes time and effort, but it is a method that can guarantee accuracy. The advantage of manual input is that it can ensure the accuracy of recognition, but the disadvantage is also obvious, that is, it consumes time and energy.
How to recognize text in pictures? Using the first three methods, you can quickly and accurately recognize the text in the picture; you can save the recognized text as editable text, which is convenient for subsequent editing and processing, and their recognition accuracy will be relatively higher , faster. Go and choose a method to try to solve the problem of image recognition.
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